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--- |
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language: |
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- en |
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license: |
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- other |
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multilinguality: |
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- monolingual |
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size_categories: |
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- n<1K |
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pretty_name: Analogy Question |
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--- |
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# Dataset Card for "relbert/analogy_questions" |
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## Dataset Description |
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- **Repository:** [RelBERT](https://github.com/asahi417/relbert) |
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- **Paper:** [https://aclanthology.org/2021.acl-long.280/](https://aclanthology.org/2021.acl-long.280/) |
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- **Dataset:** Analogy Questions |
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### Dataset Summary |
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This dataset contains 5 different word analogy questions used in [Analogy Language Model](https://aclanthology.org/2021.acl-long.280/). |
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- original analogy questions |
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| name | Size (valid/test) | Num of choice | Num of relation group | Original Reference | |
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|-----------|------------------:|--------------:|----------------------:|:--------------------------------------------------------------------------:| |
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| `u2` | 24/228 | 5,4,3 | 9 | [EnglishForEveryone](https://englishforeveryone.org/Topics/Analogies.html) | |
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| `u4` | 48/432 | 5,4,3 | 5 | [EnglishForEveryone](https://englishforeveryone.org/Topics/Analogies.html) | |
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| `google` | 50/500 | 4 | 2 | [Mikolov et al., (2013)](https://www.aclweb.org/anthology/N13-1090.pdf) | |
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| `bats` | 199/1799 | 4 | 3 | [Gladkova et al., (2016)](https://www.aclweb.org/anthology/N18-2017.pdf) | |
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- extra analogy questions |
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| name | Size (valid/test) | Num of choice (valid/test) | Num of relation group (valid/test) | Original Reference | |
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|:------------------------------------|:--------------------|:-----------------------------|:-------------------------------------|:-----------------------------------------------------------------------------------------------------------------------| |
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| `semeval2012_relational_similarity` | 79/- | 3/- | 79/- | [relbert/semeval2012_relational_similarity](https://huggingface.co/datasets/relbert/semeval2012_relational_similarity) | |
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| `t_rex_relational_similarity` | 496/183 | 74/48 | 60/19 | [relbert/t_rex_relational_similarity](https://huggingface.co/datasets/relbert/t_rex_relational_similarity) | |
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| `conceptnet_relational_similarity` | 1112/1192 | 19/17 | 18/16 | [relbert/conceptnet_relational_similarity](https://huggingface.co/datasets/relbert/conceptnet_relational_similarity) | |
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| `nell_relational_similarity` | 400/600 | 5/7 | 4/6 | [relbert/nell_relational_similarity](https://huggingface.co/datasets/relbert/nell_relational_similarity) | |
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| `scan` | 178/1616 | 3,36,136,10,45,78,15,21,55,120,153,91,28/3,36,136,10,45,78,15,21,55,120,153,91,28 | 2/2 | [relbert/scientific_and_creative_analogy](https://huggingface.co/datasets/relbert/scientific_and_creative_analogy) | |
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## Dataset Structure |
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### Data Instances |
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An example of `test` looks as follows. |
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``` |
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{ |
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"stem": ["raphael", "painter"], |
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"answer": 2, |
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"choice": [["andersen", "plato"], |
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["reading", "berkshire"], |
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["marx", "philosopher"], |
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["tolstoi", "edison"]] |
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} |
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``` |
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The `stem` is the query word pair, `choice` has word pair candidates, |
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and `answer` indicates the index of correct candidate which starts from `0`. |
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All data is lowercased except Google dataset. |
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### Citation Information |
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``` |
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@inproceedings{ushio-etal-2021-bert-is, |
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title ={{BERT} is to {NLP} what {A}lex{N}et is to {CV}: {C}an {P}re-{T}rained {L}anguage {M}odels {I}dentify {A}nalogies?}, |
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author={Ushio, Asahi and |
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Espinosa-Anke, Luis and |
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Schockaert, Steven and |
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Camacho-Collados, Jose}, |
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booktitle={Proceedings of the {ACL}-{IJCNLP} 2021 Main Conference}, |
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year={2021}, |
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publisher={Association for Computational Linguistics} |
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} |
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``` |
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### LICENSE |
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The LICENSE of all the resources are under [CC-BY-NC-4.0](./LICENSE). Thus, they are freely available for academic purpose or individual research, but restricted for commercial use. |
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